Mohammad Mainul Hoque

1.1k citations
48 papers · 927 · h-index 18

Impact in

Papers in

Mohammad Mainul Hoque

47 papers receiving 906 citations

Peers

Mohammad Mainul Hoque
Comparison fields: 5 of 74
  • Computational Mechanics 545
  • Biomedical Engineering 719
  • Mechanical Engineering 475
  • Water Science and Technology 150
  • Fluid Flow and Transfer Processes 65
Replace Yongtao Yu with:
Yongtao Yu China
Peifeng Lin China
Atsuhide Kitagawa Japan
T.M. Knowlton United States
Abdullah Al‐Mamun Bangladesh
Ritesh Prakash India
Lionel Pullum Australia
Zdeněk Chára Czechia
Christiaan Zeilstra Netherlands
Soheil Akbari Canada
Mohammad Mainul Hoque relative to Yongtao Yu China Yongtao Yu's profile →
Citations per field
00.5×3.4×
Yongtao Yu · 1×
Citations per year

Countries citing papers authored by Mohammad Mainul Hoque

Since Specialization
Citations

This map shows the geographic impact of Mohammad Mainul Hoque's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Mainul Hoque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Mainul Hoque more than expected).

Fields of papers citing papers by Mohammad Mainul Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Mainul Hoque. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Mainul Hoque. The network helps show where Mohammad Mainul Hoque may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Mainul Hoque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Mainul Hoque Line = papers co-authored together Mohammad Mainul Hoque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016119
2 201777
3 201665
4 201760
5 201846
6 201844
7 201736
8 201331
9 202329
10 201526
11 202026
12 202125
13 201624
14 201523
15 202220
16 202117
17 201317
18 202117
19 201816
20 201816

About Mohammad Mainul Hoque

Mohammad Mainul Hoque is a scholar working on Biomedical Engineering, Computational Mechanics, Ocean Engineering, Mechanical Engineering and Water Science and Technology, having authored 48 papers that have together received 927 indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (16 papers), Fluid Dynamics and Turbulent Flows (16 papers), Nanofluid Flow and Heat Transfer (15 papers), Fluid Dynamics and Mixing (12 papers), Heat Transfer Mechanisms (10 papers), Minerals Flotation and Separation Techniques (9 papers), Fluid Dynamics and Heat Transfer (5 papers) and Heat Transfer and Optimization (4 papers). The work is most often cited by research in Computational Mechanics (545 citations), Biomedical Engineering (719 citations), Mechanical Engineering (475 citations), Water Science and Technology (150 citations) and Fluid Flow and Transfer Processes (65 citations). Mohammad Mainul Hoque has collaborated with scholars based in Australia, India and Bangladesh. Frequent co-authors include C. S. K. Raju, Geoffrey M. Evans, Subhasish Mitra, S. R. Mishra, Jyeshtharaj B. Joshi, Md. Mahbub Alam, G. Janardhana Reddy, Mahesh Kumar, Mayur J. Sathe and G. C. Dash. Their work appears in journals such as Minerals Engineering, Chemical Engineering Science, Experimental Thermal and Fluid Science, Engineering Science and Technology an International Journal and Powder Technology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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